JP2009545808A5 - - Google Patents
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- JP2009545808A5 JP2009545808A5 JP2009522777A JP2009522777A JP2009545808A5 JP 2009545808 A5 JP2009545808 A5 JP 2009545808A5 JP 2009522777 A JP2009522777 A JP 2009522777A JP 2009522777 A JP2009522777 A JP 2009522777A JP 2009545808 A5 JP2009545808 A5 JP 2009545808A5
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Claims (20)
名詞を含む検索用語を受け取ること、 Receiving search terms including nouns,
前記検索用語に一致する関連する電子リソースを発見すること、 Finding relevant electronic resources that match the search term;
前記検索用語に一致する単語を含む前記関連する電子リソースのリスト及び前記リスト内の前記電子リソースの断片を表示すること、 Displaying a list of the associated electronic resources that contain words that match the search term and fragments of the electronic resources in the list;
前記検索用語の名詞と、事実の表現を示唆するように判定された動詞のリストを含むように構成された事実−単語表に一致する1以上の動詞とからなる文書の事実の記述を発見するために、関連する電子リソースをスキャンすること、 Find a factual description of a document consisting of a noun of the search term and a fact-one or more verbs matching the word table configured to include a list of verbs determined to suggest a representation of the fact In order to scan the relevant electronic resources,
前記検索用語と一致しない単語と、前記事実−単語表の単語とからなる事実の抽出処理から、前記関連する電子リソースの部分を削除すること、 Deleting the relevant electronic resource part from the fact extraction process consisting of the word that does not match the search term and the fact-word table word;
前記関連する電子リソースの部分を削除することの後に、前記事実の記述の言語成分を識別するために、前記発見した事実の記述を調査すること、 Examining the found factual description to identify a linguistic component of the factual description after deleting the portion of the associated electronic resource;
前記識別した言語成分に基づいた事実として事実の記述を提示するか否かを決定すること、 Determining whether to present a factual description as a fact based on the identified linguistic component;
前記検索用語と、前記検索用語に関連する事実であると判定された事実の記述とを含む文書の少なくとも一部を表現すること Expressing at least a part of a document including the search term and a description of the fact determined to be a fact related to the search term
から成ることを特徴とする方法。 A method characterized by comprising.
ある事実の記述を考慮からはずすために、前記事実の記述の前記言語成分に関する除外規則を適用すること、
前記事実の記述にスコアをつけること、
考慮するために残っている事実の記述の各々の前記スコアを閾値と比較すること、
前記閾値を超えるスコアを有する事実の記述の各々に対して、事実として前記事実の記述を含む文章の少なくとも一部を提示すること
から成ることを特徴とする請求項1に記載の方法。 Determining whether to present a factual description as a fact based on the identified linguistic component;
Applying an exclusion rule for the linguistic component of the factual description in order to remove the factual description from consideration;
Scoring the statement of facts;
Comparing the score of each of the remaining factual descriptions to consider with a threshold;
2. The method of claim 1, comprising presenting at least a portion of a sentence containing the fact description as a fact for each fact description having a score that exceeds the threshold.
固有名詞でない限定記述を含む主語名詞句を除外すること、
代名詞を含む名詞句を除外すること、文書の冒頭に現れない主語名詞句を除外することから成ることを特徴とする請求項5に記載の方法。 Applying said second set of rules is
Excluding subject noun phrases that contain qualifying statements that are not proper nouns;
6. The method of claim 5, comprising excluding noun phrases that include pronouns and excluding subject noun phrases that do not appear at the beginning of the document.
名詞を含む検索用語を受け取ること、 Receiving search terms including nouns,
前記検索用語に一致する関連する電子リソースを発見すること、 Finding relevant electronic resources that match the search term;
前記検索用語に一致する単語を含む前記関連する電子リソースのリスト及び前記リスト内の前記電子リソースの断片を表示すること、 Displaying a list of the associated electronic resources that contain words that match the search term and fragments of the electronic resources in the list;
前記検索用語の名詞と、事実の表現を示唆するように判定された動詞のリストを含むように構成された事実−単語表の単語に一致する1以上の動詞とからなる文書の事実の記述を発見するために、複数の関連する電子文書を構文解析すること、 A factual description of a document consisting of the search term noun and a fact-one or more verbs that match a word in the word table configured to include a list of verbs determined to suggest a representation of the fact Parsing multiple related electronic documents to discover,
前記検索用語と一致しない単語と、前記事実−単語表の単語とからなる事実の抽出処理から、前記関連する電子文書の部分を削除すること、 Deleting a portion of the related electronic document from a fact extraction process consisting of a word that does not match the search term and a fact-word table word;
前記関連する電子文書の部分を削除することの後に、前記事実の記述の言語成分を識別するために、前記発見した事実の記述を調査すること、 Examining the found factual description to identify a linguistic component of the factual description after deleting the relevant electronic document portion;
前記言語成分に関する候補となる事実の記述に除外規則を適用することにより、前記識別した言語成分に基づいた前記検索用語に関連する事実として事実の記述を提示するか否かを決定すること、 Determining whether to present a description of the fact as a fact related to the search term based on the identified language component by applying an exclusion rule to the description of the candidate fact about the language component;
一致する事実−単語表に基づき、かつ、主語と目的語の個々の重みに基づき、候補となる事実の記述をスコアリングすること、 Matching facts-scoring candidate factual descriptions based on the word table and based on the individual weights of the subject and object,
前記除外規則および事実の記述のスコアリングに従って、前記候補となる事実の記述を考慮からはずすこと、 Removing the candidate fact description from consideration according to the exclusion rule and fact scoring;
前記検索用語と、前記検索用語に関連する事実であると判定された事実の記述とを含む文書の少なくとも一部を表現すること Expressing at least a part of a document including the search term and a description of the fact determined to be a fact related to the search term
から成ることを特徴とする行為を、プロセッサにより実行されたときに、プロセッサに実行させる実効可能プログラム命令を含むコンピュータが読みとり可能な記録媒体。 A computer-readable recording medium containing executable program instructions that cause a processor to execute an action characterized by comprising the following:
前記集合は、前記複数の電子文書を解析する前に前記検索用語を含むこれらの文書を発見するために検索されること
を特徴とする請求項11に記載のコンピュータが読みとり可能な記録媒体。 The act further comprises retrieving the plurality of documents by searching a collection of electronic documents and finding those documents that include the search term;
The computer-readable recording medium of claim 11, wherein the set is searched to find those documents that include the search term before analyzing the plurality of electronic documents.
前記検索用語を含み、前記閾値を超えるスコアを有する電子文書から取られた事実の記述の各々に対して、前記検索用語に関連する事実として前記事実の記述を含む前記文章の少なくとも一部を提示することから成ることを特徴とする請求項11に記載のコンピュータが読みとり可能な記録媒体。 The act of comparing the score of each of the remaining factual descriptions for further consideration against a threshold;
For each factual description taken from an electronic document that includes the search term and has a score above the threshold, present at least a portion of the sentence that includes the factual description as a fact associated with the search term The computer-readable recording medium according to claim 11, comprising:
から成ることを特徴とする請求項14に記載のコンピュータが読みとり可能な記録媒体。 15. The computer of claim 14, wherein scoring the description of facts comprises scoring only those factual descriptions that remain to be considered after applying the exclusion rule. Is a readable recording medium.
プロセッサとから成るコンピュータシステムであって、 A computer system comprising a processor,
前記プロセッサは、名詞を含む検索用語を受け取り、前記検索用語と一致する関連する電子リソースを発見し、前記検索用語に一致する単語を含む前記関連する電子リソースのリスト及び前記リスト内の前記電子リソースの断片を表示し、電子文書のセットから前記検索用語に関する事実を提示するための要求を受け取り、前記検索用語の名詞と、事実の表現を示唆するように判定された動詞のリストを含むように構成された事実−単語表の単語に一致する1以上の動詞とからなる文書の事実の記述を発見するために、前記関連する電子文書を構文解析し、前記検索用語と一致しない単語と、前記事実−単語表の単語とからなる事実の抽出処理から、前記関連する電子文書の部分を削除し、前記関連する電子文書の部分を削除した後に、前記事実の記述の言語成分を識別するために、前記発見した事実の記述を調査し、前記識別した言語成分に基づいた事実として事実の記述を提示するか否かを決定し、前記事実として提示されると判定された事実の記述と、前記検索用語に関連する事実の記述とを含む文書の少なくとも一部を表現する The processor receives a search term that includes a noun, finds an associated electronic resource that matches the search term, and includes a list of the associated electronic resource that includes a word that matches the search term and the electronic resource in the list To receive a request to present facts about the search term from a set of electronic documents and to include a noun of the search term and a list of verbs determined to suggest a representation of the fact In order to find a factual description of a document consisting of one or more verbs that match words in a structured fact-word table, the related electronic document is parsed, and the words that do not match the search term; After deleting the related electronic document part from the fact extraction process including facts and words in the word table, and deleting the related electronic document part, In order to identify the linguistic component of the actual description, the description of the found fact is examined, it is determined whether or not the fact description is presented as a fact based on the identified linguistic component, and is presented as the fact. Represent at least a portion of a document including a description of the fact determined to be and a description of the fact associated with the search term
ことを特徴とするコンピュータシステム。 A computer system characterized by that.
前記事実の記述にスコアを付けること、
閾値に対して考慮するために残存する事実の記述の各々のスコアを比較すること、
前記検索用語を含み、前記閾値を超えるスコアを有する事実の記述の各々に対して、前記検索用語に関連する事実として前記事実の記述を含む前記文章の少なくとも前記部分を提示すること、
により、事実として事実の記述を提示するか否かを前記プロセッサが決定することを特徴とする請求項16に記載のコンピュータシステム。 Applying an exclusion rule in relation to the linguistic component of the factual description to exclude a part of the factual description from consideration;
Scoring the statement of facts;
Comparing the scores of each of the remaining factual descriptions to consider against the threshold;
Presenting at least the portion of the sentence that includes the fact description as a fact associated with the search term for each description of the fact that includes the search term and has a score that exceeds the threshold;
17. The computer system of claim 16, wherein the processor determines whether to present a factual description as a fact.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/496,650 US7668791B2 (en) | 2006-07-31 | 2006-07-31 | Distinguishing facts from opinions using a multi-stage approach |
US11/496,650 | 2006-07-31 | ||
PCT/US2007/016435 WO2008016491A1 (en) | 2006-07-31 | 2007-07-20 | Optimization of fact extraction using a multi-stage approach |
Publications (3)
Publication Number | Publication Date |
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JP2009545808A JP2009545808A (en) | 2009-12-24 |
JP2009545808A5 true JP2009545808A5 (en) | 2010-09-09 |
JP5202524B2 JP5202524B2 (en) | 2013-06-05 |
Family
ID=38987573
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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JP2009522777A Active JP5202524B2 (en) | 2006-07-31 | 2007-07-20 | Optimizing fact extraction using a multi-stage approach |
Country Status (10)
Country | Link |
---|---|
US (1) | US7668791B2 (en) |
EP (1) | EP2050019A4 (en) |
JP (1) | JP5202524B2 (en) |
AU (1) | AU2007281638B2 (en) |
BR (1) | BRPI0714311A2 (en) |
MX (1) | MX2009000588A (en) |
NO (1) | NO20085387L (en) |
RU (1) | RU2451999C2 (en) |
TW (1) | TWI431493B (en) |
WO (1) | WO2008016491A1 (en) |
Families Citing this family (54)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7269875B1 (en) * | 2003-11-19 | 2007-09-18 | David Brian Grimes | Cleaning apparatus |
US9495358B2 (en) | 2006-10-10 | 2016-11-15 | Abbyy Infopoisk Llc | Cross-language text clustering |
US8671341B1 (en) * | 2007-01-05 | 2014-03-11 | Linguastat, Inc. | Systems and methods for identifying claims associated with electronic text |
US8190628B1 (en) * | 2007-11-30 | 2012-05-29 | Google Inc. | Phrase generation |
EP2294519A1 (en) | 2008-06-13 | 2011-03-16 | Neil Young | A sortable and updateable data compilation and archiving platform and uses thereof |
US20110231387A1 (en) * | 2010-03-22 | 2011-09-22 | Yahoo! Inc. | Engaging content provision |
US8719692B2 (en) | 2011-03-11 | 2014-05-06 | Microsoft Corporation | Validation, rejection, and modification of automatically generated document annotations |
US8812301B2 (en) * | 2011-09-26 | 2014-08-19 | Xerox Corporation | Linguistically-adapted structural query annotation |
CN102929934A (en) * | 2012-09-25 | 2013-02-13 | 东莞宇龙通信科技有限公司 | Photograph information display method and mobile terminal |
US10922326B2 (en) * | 2012-11-27 | 2021-02-16 | Google Llc | Triggering knowledge panels |
US10289653B2 (en) | 2013-03-15 | 2019-05-14 | International Business Machines Corporation | Adapting tabular data for narration |
USD805535S1 (en) | 2013-06-04 | 2017-12-19 | Abbyy Production Llc | Display screen or portion thereof with a transitional graphical user interface |
USD802609S1 (en) | 2013-06-04 | 2017-11-14 | Abbyy Production Llc | Display screen with graphical user interface |
US9164977B2 (en) | 2013-06-24 | 2015-10-20 | International Business Machines Corporation | Error correction in tables using discovered functional dependencies |
US9600461B2 (en) | 2013-07-01 | 2017-03-21 | International Business Machines Corporation | Discovering relationships in tabular data |
US9830314B2 (en) | 2013-11-18 | 2017-11-28 | International Business Machines Corporation | Error correction in tables using a question and answer system |
RU2665239C2 (en) | 2014-01-15 | 2018-08-28 | Общество с ограниченной ответственностью "Аби Продакшн" | Named entities from the text automatic extraction |
RU2586577C2 (en) | 2014-01-15 | 2016-06-10 | Общество с ограниченной ответственностью "Аби ИнфоПоиск" | Filtering arcs parser graph |
US10331782B2 (en) | 2014-11-19 | 2019-06-25 | Lexisnexis, A Division Of Reed Elsevier Inc. | Systems and methods for automatic identification of potential material facts in documents |
US9626358B2 (en) | 2014-11-26 | 2017-04-18 | Abbyy Infopoisk Llc | Creating ontologies by analyzing natural language texts |
RU2592396C1 (en) | 2015-02-03 | 2016-07-20 | Общество с ограниченной ответственностью "Аби ИнфоПоиск" | Method and system for machine extraction and interpretation of text information |
RU2610241C2 (en) | 2015-03-19 | 2017-02-08 | Общество с ограниченной ответственностью "Аби ИнфоПоиск" | Method and system for text synthesis based on information extracted as rdf-graph using templates |
US10095740B2 (en) * | 2015-08-25 | 2018-10-09 | International Business Machines Corporation | Selective fact generation from table data in a cognitive system |
CN105260091B (en) * | 2015-09-07 | 2019-06-21 | 努比亚技术有限公司 | Photo processing method and device |
US10776587B2 (en) * | 2016-07-11 | 2020-09-15 | International Business Machines Corporation | Claim generation |
RU2637992C1 (en) * | 2016-08-25 | 2017-12-08 | Общество с ограниченной ответственностью "Аби Продакшн" | Method of extracting facts from texts on natural language |
CN106648390B (en) * | 2016-12-05 | 2018-12-21 | 网易(杭州)网络有限公司 | A kind of control instruction generation method, device and mobile terminal |
CN106649786B (en) * | 2016-12-28 | 2020-04-07 | 北京百度网讯科技有限公司 | Answer retrieval method and device based on deep question answering |
CN106924963B (en) * | 2017-04-26 | 2023-06-27 | 温州大学 | Entertainment targeting machine for vision and hearing rehabilitation training |
CN108038263A (en) * | 2017-11-15 | 2018-05-15 | 南京邮电大学 | Consider the uncertain chip multiple parameters yield prediction method of performance dependency structure |
CN108257380B (en) * | 2017-12-05 | 2020-11-10 | 北京掌行通信息技术有限公司 | Method and system for detecting congestion event based on road condition information |
US10303771B1 (en) * | 2018-02-14 | 2019-05-28 | Capital One Services, Llc | Utilizing machine learning models to identify insights in a document |
CN109344993B (en) * | 2018-08-23 | 2021-08-24 | 江西省水利科学研究院 | River channel flood peak water level forecasting method based on conditional probability distribution |
CN111026597B (en) * | 2019-01-31 | 2023-12-26 | 安天科技集团股份有限公司 | Detection method and device for hidden storage space of chip and storage medium |
CN110007589B (en) * | 2019-02-26 | 2021-05-18 | 湖南盛世威得科技有限公司 | Intelligent watch with automatic fire distress function |
CN110057634B (en) * | 2019-04-11 | 2021-09-07 | 东北石油大学 | Device and method for manufacturing core cracks |
CN111858225A (en) * | 2019-04-28 | 2020-10-30 | 中国移动通信集团上海有限公司 | Delay prediction method, device, equipment and computer storage medium |
CN111090785A (en) * | 2019-06-10 | 2020-05-01 | 工盒(嘉兴)网络技术有限公司 | Fastening cloud system |
CN110597108B (en) * | 2019-08-23 | 2021-12-21 | 广州电力设计院有限公司 | Cable tunnel area control system, control method and device and computer equipment |
CN110737010B (en) * | 2019-09-19 | 2021-11-16 | 西安空间无线电技术研究所 | Safe positioning time service signal generation system based on low-earth-orbit communication satellite |
CN111078849B (en) * | 2019-12-02 | 2023-07-25 | 百度在线网络技术(北京)有限公司 | Method and device for outputting information |
CN111126057B (en) * | 2019-12-09 | 2023-08-01 | 航天科工网络信息发展有限公司 | Case scenario accurate sentencing system of hierarchical neural network |
DE102020103941A1 (en) * | 2020-02-14 | 2021-08-19 | Grimme Landmaschinenfabrik Gmbh & Co. Kg | Method for operating a machine for harvesting and / or separating root crops, associated machine and associated computer program product |
JP2021164005A (en) * | 2020-03-30 | 2021-10-11 | Kddi株式会社 | Image decoding device, image decoding method, and program |
CN111526397A (en) * | 2020-03-30 | 2020-08-11 | 深圳市懿美莱科技有限公司 | Intelligent home network player |
CN111836065B (en) * | 2020-07-14 | 2022-04-29 | 北京场景互娱传媒科技有限公司 | Intelligent method for automatically hiding live broadcast trademark |
CN111882828B (en) * | 2020-07-22 | 2021-08-20 | 淮北智淮科技有限公司 | Landslide prevention early warning device and using method thereof |
CN112182895B (en) * | 2020-10-10 | 2022-08-23 | 中际联合(天津)科技有限公司 | Automatic analysis method for arrangement scheme diagram of wind turbine tower ladder and anti-falling |
CN112890771B (en) * | 2021-01-14 | 2022-08-26 | 四川写正智能科技有限公司 | Child watch capable of monitoring sleep state based on millimeter wave radar sensor |
US11687539B2 (en) | 2021-03-17 | 2023-06-27 | International Business Machines Corporation | Automatic neutral point of view content generation |
US11972210B2 (en) * | 2021-05-13 | 2024-04-30 | Motorola Solutions, Inc. | System and method for predicting a penal code and modifying an annotation based on the prediction |
CN115191786B (en) * | 2022-08-04 | 2023-12-19 | 慕思健康睡眠股份有限公司 | Control method, device, equipment and storage medium |
CN115432851B (en) * | 2022-08-23 | 2023-06-23 | 长兴瑷晟环保装备有限公司 | High-efficient coagulation hydrodynamic cavitation all-in-one |
CN118278385B (en) * | 2024-05-29 | 2024-09-17 | 暗物智能科技(广州)有限公司 | Test method and device based on chapter rolling surface analysis and readable storage medium |
Family Cites Families (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0756933A (en) * | 1993-06-24 | 1995-03-03 | Xerox Corp | Method for retrieval of document |
US5519608A (en) * | 1993-06-24 | 1996-05-21 | Xerox Corporation | Method for extracting from a text corpus answers to questions stated in natural language by using linguistic analysis and hypothesis generation |
US5331556A (en) * | 1993-06-28 | 1994-07-19 | General Electric Company | Method for natural language data processing using morphological and part-of-speech information |
US5715468A (en) * | 1994-09-30 | 1998-02-03 | Budzinski; Robert Lucius | Memory system for storing and retrieving experience and knowledge with natural language |
JP2000029902A (en) * | 1998-07-15 | 2000-01-28 | Nec Corp | Structure document classifying device and recording medium where program actualizing same structured document classifying device by computer is recorded, and structured document retrieval system and recording medium where program actualizing same structured document retrieval system by computer is recorded |
US6167370A (en) * | 1998-09-09 | 2000-12-26 | Invention Machine Corporation | Document semantic analysis/selection with knowledge creativity capability utilizing subject-action-object (SAO) structures |
US6741986B2 (en) * | 2000-12-08 | 2004-05-25 | Ingenuity Systems, Inc. | Method and system for performing information extraction and quality control for a knowledgebase |
US6665661B1 (en) * | 2000-09-29 | 2003-12-16 | Battelle Memorial Institute | System and method for use in text analysis of documents and records |
JP4630480B2 (en) * | 2001-03-19 | 2011-02-09 | 株式会社東芝 | Summary extraction program, document analysis support program, summary extraction method, document analysis support method, document analysis support system |
JP2001357064A (en) * | 2001-04-09 | 2001-12-26 | Toshiba Corp | Information sharing support system |
US9009590B2 (en) * | 2001-07-31 | 2015-04-14 | Invention Machines Corporation | Semantic processor for recognition of cause-effect relations in natural language documents |
US7526425B2 (en) * | 2001-08-14 | 2009-04-28 | Evri Inc. | Method and system for extending keyword searching to syntactically and semantically annotated data |
US7254530B2 (en) * | 2001-09-26 | 2007-08-07 | The Trustees Of Columbia University In The City Of New York | System and method of generating dictionary entries |
US7426509B2 (en) * | 2002-11-15 | 2008-09-16 | Justsystems Evans Research, Inc. | Method and apparatus for document filtering using ensemble filters |
WO2004072780A2 (en) * | 2003-02-05 | 2004-08-26 | Verint Systems, Inc. | Method for automatic and semi-automatic classification and clustering of non-deterministic texts |
RU2236699C1 (en) * | 2003-02-25 | 2004-09-20 | Открытое акционерное общество "Телепортал. Ру" | Method for searching and selecting information with increased relevance |
KR100515641B1 (en) * | 2003-04-24 | 2005-09-22 | 우순조 | Method for sentence structure analysis based on mobile configuration concept and method for natural language search using of it |
US20050108630A1 (en) * | 2003-11-19 | 2005-05-19 | Wasson Mark D. | Extraction of facts from text |
US7496500B2 (en) * | 2004-03-01 | 2009-02-24 | Microsoft Corporation | Systems and methods that determine intent of data and respond to the data based on the intent |
US7970600B2 (en) * | 2004-11-03 | 2011-06-28 | Microsoft Corporation | Using a first natural language parser to train a second parser |
US20070027860A1 (en) * | 2005-07-28 | 2007-02-01 | International Business Machines Corporation | Method and apparatus for eliminating partitions of a database table from a join query using implicit limitations on a partition key value |
US7376551B2 (en) * | 2005-08-01 | 2008-05-20 | Microsoft Corporation | Definition extraction |
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2006
- 2006-07-31 US US11/496,650 patent/US7668791B2/en active Active
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2007
- 2007-07-18 TW TW096126248A patent/TWI431493B/en not_active IP Right Cessation
- 2007-07-20 EP EP07796948A patent/EP2050019A4/en not_active Ceased
- 2007-07-20 JP JP2009522777A patent/JP5202524B2/en active Active
- 2007-07-20 BR BRPI0714311-7A patent/BRPI0714311A2/en not_active IP Right Cessation
- 2007-07-20 AU AU2007281638A patent/AU2007281638B2/en active Active
- 2007-07-20 WO PCT/US2007/016435 patent/WO2008016491A1/en active Application Filing
- 2007-07-20 RU RU2009103145/08A patent/RU2451999C2/en active
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